Verified90% confidenceFactExact time
Mainstream Agent architectures typically use a large language model as the brain, combined with memory modules, planning modules, and tool interfaces to accomplish complex tasks
6
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90%
Confidence
Long-term
Relevance
7/30/2026
First Seen
Sources
Can OpenAI's Most Powerful Agent Independently Run a Business? Real-World Testing Reveals the Answer
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UnverifiedThe technical architecture of an Agentic Workflow typically includes a large language model as reasoning engine, function calling interfaces, memory modules, and a planning module85% similarUnverifiedAccording to the Kunpeng team's analysis, a complete agent architecture consists of large model inference (the brain), the agent core (Gateway), memory system, action module, and tool calling.80% similarVerifiedThe Agent layer is essentially an automated task execution unit based on a large language model, equipped with tool-calling (Function Calling) capabilities.80% similarVerifiedAgents possess capabilities for planning, tool invocation, memory, and autonomous iteration, distinguishing them from the single-round question-and-answer mode of traditional large language models.79% similarUnverifiedAn Agent's planning module can decompose complex tasks into executable sub-steps, which is a key feature that distinguishes it from simple dialogue systems.79% similar
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